BisCount is a highly interactive and strategic indicator system developed to detect and visualize user density on bicycle lanes. It supports data-driven decision-making processes by monitoring urban bicycle mobility.
BisCount integrates advanced image processing and object recognition technologies to accurately detect and count bicycle users. Live images collected through smart camera systems positioned on bicycle lanes are analyzed with advanced image processing software. Each passing bicycle is instantly detected and converted into numerical data.
BisCount’s dual-sided screens display real-time bicycle counting data and relevant statistics, enabling city residents and decision-makers to act with awareness. This increases the visibility of bicycle transportation in urban areas and supports data-driven urban planning processes.
The primary goal of BisCount is to present bicycle mobility through numerical data and transform this information into strategic insights. A data-driven approach makes it possible to conduct accurate analyses and develop sound urban policies. Thanks to the concrete data obtained, urban planning processes are improved, public awareness is raised, and sustainable transportation policies can be implemented more effectively.
Initially focusing on bicycle technologies, our company swiftly expanded its expertise in the software industry, excelling in deep learning, computer vision, and artificial intelligence.
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